What Where Wi: An Analysis of Millions of Wi-Fi Access Points

2007 ◽  
Author(s):  
Kipp Jones ◽  
Ling Liu
Keyword(s):  
Access Points

Food and Religious Identities in the Venetian Inquisition, ca. 1560–ca. 1640

2021 ◽  
Vol 74 (1) ◽  
pp. 181-214
Author(s):  
Eleanor Barnett
Keyword(s):  
Identity Construction ◽  
Religious Identity ◽  
Lived Religion ◽  
Ordinary People ◽  
Religious Identities ◽  
Access Points ◽  
Counter Reformation ◽  
Eating Practices ◽  
The City ◽  
Insight Into

Through Venetian Inquisition trials relating to Protestantism, witchcraft, and Judaism, this article illuminates the centrality of food and eating practices to religious identity construction. The Holy Office used food to assert its model of post-Tridentine piety and the boundaries between Catholics and the non-Catholic populations in the city. These trial records concurrently act as access points to the experiences and beliefs—to the lived religion—of ordinary people living and working in Venice from 1560 to 1640. The article therefore offers new insight into the workings and impacts of the Counter-Reformation.

scholarly journals Measuring the impact of an acute visiting scheme on emergency department attendances – a pre-post cohort design

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Axel Kaehne ◽  
Paula Keating
Keyword(s):  
Emergency Department ◽  
Service Use ◽  
Emergency Department Visits ◽  
Service Utilisation ◽  
Specific Patient ◽  
Access Points ◽  
Latent Demand ◽  
Frequent Attenders ◽  
Cohort Design ◽  
The Impact

Abstract Background Emergency department (ED) attendances are contributing to rising costs of the National Health Service (NHS) in England. Critically assessing the impact of new services to reduce emergency department use can be difficult as new services may create additional access points, unlocking latent demand. The study evaluated an Acute Visiting Scheme (AVS) in a primary care context. We asked if AVS reduces overall ED demand and whether or not it changed utilisation patterns for frequent attenders. Method The study used a pre post single cohort design. The impact of AVS on all-cause ED attendances was hypothesised as a substitution effect, where AVS duty doctor visits would replace emergency department visits. Primary outcome was frequency of ED attendances. End points were reduction of frequency of service use and increase of intervals between attendances by frequent attenders. Results ED attendances for AVS users rose by 47.6%. If AVS use was included, there was a more than fourfold increase of total service utilisation, amounting to 438.3%. It shows that AVS unlocked significant latent demand. However, there was some reduction in the frequency of ED attendances for some patients and an increase in time intervals between ED attendances for others. Conclusion The study demonstrates that careful analysis of patient utilisation can detect a differential impact of AVS on the use of ED. As the new service created additional access points for patients and hence introduces an element of choice, the new service is likely to unlock latent demand. This study illustrates that AVS may be most useful if targeted at specific patient groups who are most likely to benefit from the new service.

scholarly journals Distributed user-to-multiple access points association through deep learning for beyond 5G

2021 ◽  
pp. 108258
Author(s):  
Thi Ha Ly Dinh ◽  
Megumi Kaneko ◽  
Keisuke Wakao ◽  
Kenichi Kawamura ◽  
Takatsune Moriyama ◽  
...  
Keyword(s):  
Deep Learning ◽  
Multiple Access ◽  
Access Points

scholarly journals Estimating PQoS of Video Streaming on Wi-Fi Networks Using Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 621
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Video Streaming ◽  
Network Performance ◽  
Service Providers ◽  
Perceived Quality ◽  
Internet Service Providers ◽  
Performance Parameters ◽  
Internet Service ◽  
Access Points

Video on demand (VoD) services such as YouTube have generated considerable volumes of Internet traffic in homes and buildings in recent years. While Internet service providers deploy fiber and recent wireless technologies such as 802.11ax to support high bandwidth requirement, the best-effort nature of 802.11 networks and variable wireless medium conditions hinder users from experiencing maximum quality during video streaming. Hence, Internet service providers (ISPs) have an interest in monitoring the perceived quality of service (PQoS) in customer premises in order to avoid customer dissatisfaction and churn. Since existing approaches for estimating PQoS or quality of experience (QoE) requires external measurement of generic network performance parameters, this paper presents a novel approach to estimate the PQoS of video streaming using only 802.11 specific network performance parameters collected from wireless access points. This study produced datasets comprising 802.11n/ac/ax specific network performance parameters labelled with PQoS in the form of mean opinion scores (MOS) to train machine learning algorithms. As a result, we achieved as many as 93–99% classification accuracy in estimating PQoS by monitoring only 802.11 parameters on off-the-shelf Wi-Fi access points. Furthermore, the 802.11 parameters used in the machine learning model were analyzed to identify the cause of quality degradation detected on the Wi-Fi networks. Finally, ISPs can utilize the results of this study to provide predictable and measurable wireless quality by implementing non-intrusive monitoring of customers’ perceived quality. In addition, this approach reduces customers’ privacy concerns while reducing the operational cost of analytics for ISPs.

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